ddgr
Skill2 starsChanged 13 days agoMITView on GitHub
Search the web with DuckDuckGo using the `ddgr` CLI. Use when the user asks to look something up online, verify facts, or gather source links.
In this repository11 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agents-mdSkill
- chatgpt-share-markdownSkill
- ghSkill
- jiraSkill
- jjSkill
- khalSkill
- notmuchSkill
- skill-creatorSkill
- taskwarriorSkill
- tmux-interactive-processesSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 8
Search the web from the terminal with ddgr.
- Distinctive: line 22
Search with region targeting:
- Very specific: line 38
If --json is not supported by the installed ddgr version, use plain output:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Ddgr
Search the web from the terminal with ddgr.
ddgr --noprompt --noua --json --num 10 "query terms"Search Web
Preferred command (machine-readable JSON):
ddgr --noprompt --noua --json --num 10 "query terms"Search with region targeting:
ddgr --noprompt --noua --json --num 10 -r us-en "query terms"Common options:
--json: Return JSON results for deterministic parsing--num <N>: Maximum number of results-r <region>: Region code such asus-enorgb-en--noprompt: Non-interactive mode--noua: Disable random user-agent behavior
Fallback
If --json is not supported by the installed ddgr version, use plain output:
ddgr --noprompt --noua --num 10 "query terms"Summarize results with title, URL, and snippet for each entry.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

